Package: MarginalMaxTest 1.0.1

Canyi Chen

MarginalMaxTest: Max-Type Test for Marginal Correlation with Bootstrap

Test the marginal correlation between a scalar response variable with a vector of explanatory variables using the max-type test with bootstrap. The test is based on the max-type statistic and its asymptotic distribution under the null hypothesis of no marginal correlation. The bootstrap procedure is used to approximate the null distribution of the test statistic. The package provides a function for performing the test. For more technical details, refer to Zhang and Laber (2014) <doi:10.1080/01621459.2015.1106403>.

Authors:Canyi Chen [aut, cre, cph]

MarginalMaxTest_1.0.1.tar.gz
MarginalMaxTest_1.0.1.tar.gz(r-4.7-arm64)MarginalMaxTest_1.0.1.tar.gz(r-4.7-x86_64)MarginalMaxTest_1.0.1.tar.gz(r-4.6-arm64)MarginalMaxTest_1.0.1.tar.gz(r-4.6-x86_64)
MarginalMaxTest_1.0.1.tgz(r-4.6-emscripten)
manual.pdf |manual.html
card.svg |card.png
MarginalMaxTest/json (API)
NEWS

# Install 'MarginalMaxTest' in R:
install.packages('MarginalMaxTest', repos = c('https://cran.r-universe.dev', 'https://cloud.r-project.org'))

Bug tracker:https://github.com/canyi-chen/marginalmaxtest/issues

Uses libs:
  • openblas– Optimized BLAS
  • c++– GNU Standard C++ Library v3
  • openmp– GCC OpenMP (GOMP) support library

On CRAN:

Conda:

openblascppopenmp

1.70 score 2 scripts 144 downloads 1 exports 2 dependencies

Last updated from:c22a0bab6f. Checks:6 OK. Indexed: no.

TargetResultTimeFilesSyslog
linux-devel-arm64OK114
linux-devel-x86_64OK109
source / vignettesOK138
linux-release-arm64OK107
linux-release-x86_64OK125
wasm-releaseOK111

Exports:marginal.test

Dependencies:RcppRcppArmadillo